Call and booking assistants
Answer common questions, take bookings and capture details.
Voice AI Agents
Voice AI agents that handle real conversations
Voice assistants that listen, understand, act and answer — combining speech recognition, language models and speech synthesis with your systems, for calls, bookings and hands-free work.
In short
How does a voice AI agent work?
A voice AI agent chains three steps in real time: speech-to-text converts what the caller says, a language model decides the response and any action to take through connected tools, and text-to-speech speaks the reply. ImliStack designs these pipelines for low latency, clear fallbacks and human handover, and integrates them with your booking, CRM or support systems.
Where we usually help
- Phone lines are overloaded with routine questions and bookings
- Field or warehouse staff need hands-free access to information
- Customers prefer to speak rather than type
- You want to prototype a voice experience before committing to a full build
What we deliver
Voice AI Agents capabilities
Speech pipelines
Speech-to-text, LLM reasoning and text-to-speech tuned for natural turn-taking.
System actions
Create tickets, update CRM records or schedule visits through your APIs.
Voice in mobile apps
Voice input and spoken replies inside Android and iOS apps.
Human handover
Transfer to a person with the conversation summary when needed.
Transcripts and analytics
Searchable transcripts, summaries and quality tracking.
How we work
A delivery approach you can follow
Written plans, visible progress and decisions recorded as we go — so nothing depends on memory.
Choose one use case
A narrow call type with clear success criteria.
Prototype the conversation
A working voice prototype tested with real scripts.
Tune latency and accuracy
Measure response time, recognition and answer quality.
Integrate and launch
Connect systems, add handover and release in stages.
Technology
Tools we use for voice ai agents
We choose tools for your constraints, not our habits. See the full technology overview.
Proof, not promises
Voice agents build on the same LLM, real-time (Socket.IO) and integration foundations as our production AI services, and are scoped through our AI Integration Discovery & Prototype engagement.
See the AI discovery engagementFAQ
Voice AI Agents: common questions
Can a voice agent replace a call centre?
For routine, well-defined calls it can handle a large share, but complex or sensitive calls should reach a person. We design the handover from the start.
How natural does it sound?
Modern speech models sound natural, but quality depends on latency, turn-taking and script design, which we test with real conversations before launch.
Do you build a prototype first?
Yes. A short discovery and prototype tests feasibility, latency and cost on your real call types before any larger commitment.
Next step
Have a product to build or a system to fix?
Tell us what you are working on. You will get a considered reply from an engineer — with questions, a suggested approach or an honest “we are not the right fit”.